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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 1391–1400 of 1729 papers

TitleStatusHype
Subword Pooling Makes a DifferenceCode0
Subword Pooling Makes a DifferenceCode0
Gazetteer-Enhanced Bangla Named Entity Recognition with BanglaBERT Semantic Embeddings K-Means-Infused CRF ModelCode0
Cost-efficient Crowdsourcing for Span-based Sequence Labeling: Worker Selection and Data AugmentationCode0
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence LabelingCode0
Neural Correction Model for Open-Domain Named Entity RecognitionCode0
GEMA-Score: Granular Explainable Multi-Agent Score for Radiology Report EvaluationCode0
Contextual Label Projection for Cross-Lingual Structured PredictionCode0
Augmenting Biomedical Named Entity Recognition with General-domain ResourcesCode0
Towards Realistic Single-Task Continuous Learning Research for NERCode0
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